Robust detection of heart beats in multimodal data: The PhysioNet/Computing in Cardiology Challenge 2014

@article{Moody2014RobustDO,
  title={Robust detection of heart beats in multimodal data: The PhysioNet/Computing in Cardiology Challenge 2014},
  author={George B. Moody and Benjamin Moody and Ikaro Silva},
  journal={Computing in Cardiology 2014},
  year={2014},
  pages={549-552}
}
The 15th annual PhysioNet/CinC Challenge aims to encourage the exploration of robust methods for locating heart beats in continuous long-term data from bedside monitors and similar devices that record not only ECG but usually other physiologic signals as well, including pulsatile signals that directly reflect cardiac activity, and other signals that may have few or no observable markers of heart beats. Our goal is to accelerate development of open-source research tools that can reliably… CONTINUE READING

Citations

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Editorial : Robust Detection of Heart Beats in Multimodal Data

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